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Fifth program: Beginner decryptor
Arrays17/30
Back to the list of tasks
  • 1. Little Muffin and Big Data
  • 2. Average value
  • 3. Finishing the traffic analyzer
  • 4. New data
  • 5. A lot of data? An array!
  • 6. Reading from an array using index
  • 7. Variable as index
  • 8. Array length
  • 9. Let’s hit arrays with loops!
  • 10. Summation in the loop
  • 11. Finishing refactoring
  • 12. One small analytical investigation
  • 13. Writing to an array by index
  • 14. The murderer is a butler!
  • 15. Summary of “Arrays”. Part 1
  • 16. Fifth program: Beginner decryptor
  • 17. Vague suspicions
  • 18. Swapping the elements
  • 19. Looking for the minimum element
  • 20. The minimum element is found!
  • 21. Starting sorting
  • 22. Continue sorting
  • 23. Finish sorting
  • 24. Testing the sorting
  • 25. Median of an odd number of elements
  • 26. Median of an even number of elements
  • 27. Green light
  • 28. The murderer is the butler, again!
  • 29. Summary of “Arrays”. Part 2
  • 30. Sixth program: Long jump records
Swapping the elements
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  • Theory
  • Theory
  • Comments

Vague suspicions

After the opening of the Friday e-sports club, things started looking up for the marketers. Traffic has been higher than planned already for several months. But the popularity of the video blog is growing suspiciously slowly: the number of likes, shares and new subscribers clearly does not correspond to the traffic.

Muffin suspected something was up and asked me to once again analyze the data for the last month. Here they are:

817, 581, 1370, 752, 1247, 681, 1120, 915, 875, 1341, 757, 610, 812, 741, 1139, 812, 638, 877, 1242, 1159, 1372, 1170, 845, 1289, 515, 1247, 769, 1261, 2805, 1201

Comments

  • script.js
JavaScript
var expectedUsers = 1000; var usersByDay = [817, 1370, 752, 1247, 681, 1120, 915, 1281, 875, 1341, 757, 610, 812, 1170, 769, 1261, 845, 1289, 515, 1247, 845, 1311, 741, 1239, 812, 638, 877, 1242, 1159, 1372]; // Drawing the traffic graph muffin.plot(usersByDay, expectedUsers); // Summarizing traffic and analyzing the dips var totalUsers = 0; var minUsers = expectedUsers - 300; var badDays = []; for (var i = 0; i <= usersByDay.length - 1; i++) { totalUsers += usersByDay[i]; if (usersByDay[i] < minUsers) { badDays[i] = expectedUsers - usersByDay[i]; } else { badDays[i] = 0; } } muffin.plot(badDays, 300); // Calculating the average traffic value var averageUsers = totalUsers / usersByDay.length; console.log('Average traffic: ' + averageUsers); if (averageUsers > expectedUsers) { console.log('Traffic is amazing. Keep up the good work!'); } else { console.log('Traffic is so-so. You need to try harder!'); }

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Console

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Result

Goalscompleted
  1. Replace obsolete data with new ones (copy them from theory) and check if there are suspicious traffic dips.

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